DOCSLIB.ORG

New Delay Less Sub Band Adaptive Filtering Algorithm Foractive Noise

Total Page：16

File Type：pdf, Size：1020Kb

Download full-text PDF Read full-text
New Delay Less Sub Band Adaptive Filtering Algorithm Foractive Noise Global Journal of Researches in Engineering: f Electrical and Electronics Engineering Volume 14 Issue 1 Version 1.0 Year 2014 Type: Double Blind Peer Reviewed International Research Journal Publisher: Global Journals Inc. (USA) Online ISSN: 2249-4596 & Print ISSN: 0975-5861 New Delay Less Sub Band Adaptive Filtering Algorithm for Active Noise Control Systems By B. Satish Chandra, S. China Venkateswarlu, D. Ravi Kiran Babu & K. Arun Kumar Jyothishmathi Institute of Technology & Science, India Abstract- The delay less SAF scheme in an ANC system involves the decomposition of input noise (i.e., the reference signal) and error signals into sub bands using analysis filter banks, and combining the sub band weights into a full-band noise canceling filter by a synthesis filter bank called weight stacking. Typically, a linear-phase finite-impulse response (FIR) low-pass filter (i.e., prototype filter) is designed and modulated for the design of such filter banks. The filter must be designed so that the side-lobe effect and spectral leakage are minimized. The delay in filter bank is reduced by prototype filter design and the side-lobe distortion is compensated for by oversampling and appropriate stacking of sub band weights. Experimental results show the improvement of performance and computational complexity of the proposed method in comparison to two commonly used sub band and block adaptive filtering algorithms. Keywords: DFT, dolph-linear -phase finite-impulse response, sub band adaptive filtering, SAF, UDFM. GJRE-F Classification : FOR Code: 091301, 090699 NewDelayLessSubBandAdaptiveFilteringAlgorithmforActiveNoiseControlSystems Strictly as per the compliance and regulations of : © 2014. B. Satish Chandra, S. China Venkateswarlu, D. Ravi Kiran Babu & K. Arun Kumar. This is a research/review paper, distributed under the terms of the Creative Commons Attribution-Noncommercial 3.0 Unported License http://creativecommons.org/licenses/by-nc/3.0/), permitting all non commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. New Delay Less Sub Band Adaptive Filtering Algorithm for Active Noise Control Systems α σ ρ Ѡ B. S atish Chandra , S. China Venkateswarlu , D. Ravi Kiran Babu & K. Arun Kumar Ab stract- The delay less SAF scheme in an ANC system In general, the SAF methods offer a good involves the decomposition of input noise (i.e., the reference alternative approach to meet ANC system requirements, signal) and error signals into sub bands using analysis filter due to their inherent spectral decomposition and down banks, and combining the sub band weights into a full-band sampling operations. Since the spectral dynamic range noise canceling filter by a synthesis filter bank called weight and eigen value spread of the covariance matrix of noise 2014 stacking. Typically, a linear-phase finite-impulse response (FIR) low-pass filter (i.e., prototype filter) is designed and signal decrease in each sub band, the performance, i.e., Year modulated for the design of such filter banks. The filter must convergence rate, noise attenuation level, and stability be designed so that the side-lobe effect and spectral leakage of the ANC system, improves using SAF techniques. 35 are minimized. The delay in filter bank is reduced by prototype Hence, one expects that increasing the number of sub filter design and the side-lobe distortion is compensated for by bands (or block length) M should improve the oversampling and appropriate stacking of sub band weights. performance. Experimental results show the improvement of performance The delay less SAF scheme in an ANC system and computational complexity of the proposed method in involves the decomposition of input noise (i.e., the comparison to two commonly used sub band and block reference signal) and error signals into sub bands using adaptive filtering algorithms. Sub band adaptive filtering (SAF) techniques play a prominent role in designing active noise analysis filter banks, and combining the sub band control (ANC) systems. They reduce the computational weights into a full-band noise canceling filter by a complexity of ANC algorithms, particularly, when the acoustic synthesis filter bank called weight stacking. Typically, a noise is a broadband signal and the system models have long linear-phase finite-impulse response (FIR) low-pass filter impulse responses. In the commonly used uniform-discrete (i.e., prototype filter) is designed and modulated for the Fourier transform (DFT) -modulated (UDFTM) filter banks, design of such filter banks. The filter must be designed increasing the number of sub bands decreases the so that the side-lobe effect and spectral leakage are I I Version XIV Issue olume computational burden but can introduce excessive distortion, V minimized. The latter requires a high-order FIR filter, ) degrading performance of the ANC system. In this paper, we F introducing a long delay, which increases with M as the ( propose a new UDFTM-based adaptive sub band filtering method that alleviates the degrading effects of the delay and bandwidth shrinks. The long delay and side-lobe side-lobe distortion introduced by the prototype filter on the interference introduced by the prototype filter degrade system performance. the performance of SAF algorithms for large M, limiting Keywords: DFT, dolph-linear-phase finite-impulse the computational saving that can be obtained by response, sub band adaptive filtering, SAF, UDFM. increasing the number of sub bands. Improving the system performance and reducing the computational I. Introduction burden by increasing M has inspired the work presented ubband adaptive filtering (SAF) techniques play a herein. The focus of this project is to design a high- performance SAF algorithm. The performance limiting prominent role in designing active noise control Researches in Engineering S (ANC) systems. They reduce the computational factors of existing SAF structures were found to be due complexity of ANC algorithms, particularly, when the to the inherent delay and side-lobes of the prototype filter in the analysis filter banks. acoustic noise is a broadband signal and the system models have long impulse responses. Active noise A delay less structure targeted for low-resource of ournal control (ANC) is a method of canceling a noise signal in implementation is proposed to eliminate filter bank an acoustic cavity by generating an appropriate anti- processing delays in sub band adaptive filters obal J Gl (SAFs). Rather than using direct IFFT or poly phase noise signal via canceling loudspeakers. filter banks to transform the SAFs back into the time-domain, the proposed method utilizes a weighted Author α: Assoc. Prof -ECE JITS Jyothishmathi Institute of Technology & overlap-add (WOLA) synthesis. Low-resource real-time Science, Nustulapur, Karimnagar -505 481, Andhra Pradesh, India. Author σ: P rof. & HOD -ECE JITS Jyothishmathi Institute of Technology implementations are targeted and as such do not & Science, Nustulapur, Karimnagar-505 481, Andhra Pradesh, India. involve long (as long as the echo plant) FFT or IFFT e-mail: [email protected] operations. Also, the proposed approach facilitates time Author ρ: Assoc. Prof -ECE JITS Jyothishmathi Institute of Technology & Science, Nustulapur, Karimnagar-505 481, Andhra Pradesh, India. distribution of the adaptive filter reconstruction Author Ѡ: Asst. Prof-ECE SCITES Jyothishmathi Institute of Technology calculations crucial for efficient real-time and hardware & Science, Nustulapur, Karimnagar-505 481, Andhra Pradesh, India. implementation. The method is implemented on an ©2014 Global Journals Inc. (US) New Delay L ess Sub Band Adaptive Filtering Algorithm for Active Noise Control Systems oversampled WOLA filter bank employed as part of an matrix. Specifically when N − P ≥ M, the N ×P echo cancellation application. Evaluation results polynomial (resp. : Laurent polynomial) of M-variety demonstrate that the proposed implementation matrix is generically invertible; whereas when N − P < outperforms conventional SAF systems since the signals M, the matrix is generically noninvertible. Using this used in actual adaptive filtering are not distorted by filter sharp phase transition property, we develop a fast bank aliasing. The method is a good match for partial algorithm to compute a particular left inverse for a given update adaptive algorithms since segments of the time- Laurent polynomial matrix. These results suggest an domain adaptive filter are sequentially reconstructed alternative approach in designing multidimensional filter and updated. banks by freely generating filters for the analysis side A delay less method for adaptive filtering first. If we allow an amount of over sampling then we can through SAF systems is proposed. The method, based almost surely find a perfect reconstruction inverse for on WOLA synthesis of the SAFs, is very efficient and is the synthesis poly phase matrix. These results also have well mapped to a low-resource hardware potential applications in multidimensional signal 2014 implementation. The performance of an open-loop reconstruction from multi-channel filtering and sampling. version of the system was compared against a Speech signals from the uncontrolled environments may Year conventional SAF system employing the same WOLA contain degradation components along with the analysis/synthesis filter banks, with the proposed delay required speech components. The degradation 36 less system offering superior performance but at greater components
Load more

Recommended publications
  • Copyrighted Material
    41_137284 bindex.qxp 8/17/07 9:55 AM Page 355 Index AGP (Accelerated Graphics Port) • Symbols & Numerics • expansion slot, 79 \ (backslash) key, 138 port, 123 . (period) in filenames, 290 AIFF (Audio Interchange File Format), 224 3-D graphics, supporting, 123 air flow 16 bits, PC sound sampled at, 164 in the console, 23 404 error, 258 for the microprocessor, 76 802.11 wireless networking standard, in PCs, 185 232, 234 air vents, 21–22, 24 ALL CAPS, e-mail messages in, 260 All Programs menu on the Start button • A • menu, 62, 63 all-in-one printers, 150, 152 A-B switch for a printer, 91 Alt key, 136 Accelerated Graphics Port. See AGP Alt+Tab key combination, 318 account folder. See User Profile folder AMD microprocessors, 76 acoustic coupler modem, 176 animation, displaying pop-up windows, 274 ACPI (Advanced Configuration and Power annual subscription for antivirus software, Interface), 186 350 ad hoc network, 238 antenna, wireless adapter with, 234 Add a Printer toolbar button, 158 antiglare screen, 344 Add or Remove Programs dialog box, 324 antiradiation shielding, 344 Add Printer Wizard, 158 antivirus software Address bar in Windows Explorer, 303 described, 279 address for memory, 97 disabling, 320 addresses, e-mail, 260 investing in, 350–351 Adjust Date/Time command, 81 Any key, 138 administrator privileges required to install APM (Advanced Power Management) new software, 320 specification, 186 administrator’s UAC,COPYRIGHTED 281–282 MATERIAL Appearance Settings dialog box, 127 Adobe Photoshop Elements, 198 applications (programs) Advanced
    [Show full text]
  • Vysoké Učení Technické V Brně Brno University of Technology
    VYSOKÉ UČENÍ TECHNICKÉ V BRNĚ BRNO UNIVERSITY OF TECHNOLOGY FAKULTA ELEKTROTECHNIKY A KOMUNIKACNÍCH TECHNOLOGIÍ ÚSTAV TELEKOMUNIKACÍ FACULTY OF ELECTRICAL ENGINEERING AND COMMUNICATION DEPARTMENT OF TELECOMMUNICATIONS DATABÁZE ZVUKOVÝCH SOUBORŮ DATABASE OF AUDIO RECORDS DIPLOMOVÁ PRÁCE MASTER'S THESIS AUTOR PRÁCE BC.NABHAN KHATIB AUTHOR VEDOUCÍ PRÁCE ING. IVAN MÍČA SUPERVISOR BRNO 2009 1 Databáze zvukových souborů Vytvorte aplikaci v jazyce C++ s grafickým uživatelským rozhraním, která bude schopná komunikovat se vzdáleným serverem a provádet základní funkce: napr. nahrávání a stahování souboru. Aplikace Bude používat databázový servere SQL. Aplikace navíc musí provádet nekteré vybrané metody zpracování signálu, jako jsou napríklad komprese ci dekomprese ruznými kompresními algoritmy, prevzorkování, filtrace a další. Aplikace by mela umožnovat prístup uživatelum do databáze pomocí uživatelského jména a hesla a adminitrátorovi by mela umožnit pridelovat ruzná oprávnení pro jednotlivé uživatele. PODĚKOVÁNÍ Děkuji vedoucímu diplomové práce Ing. Ivanu Míčovi, doktorandovi Ústavu telekomunikací na FEKT VUT v Brně, za velmi užitečnou metodickou pomoc a cenné rady při zpracování diplomové práce. V Brně dne ............... ............................................ Podpis autora 2 Prohlášení Prohlašuji, že svou diplomovou práce na téma DATABÁZE ZVUKOVÝCH SOUBORŮ jsem vypracoval samostatně pod vedením vedoucího diplomové práce a s použitím odborné literatury a dalších informačních zdrojů, které jsou všechny citovány v práci a uvedeny v seznamu literatury na konci práce. Jako autor uvedeného diplomové práce dále prohlašuji, že v souvislosti s vytvořením této diplomové práce jsem neporušil autorská práva třetích osob, zejména jsem nezasáhl nedovoleným způsobem do cizích autorských práv osobnostních a jsem si plně vědom následků porušení ustanovení § 11 a následujících autorského zákona č. 121/2000 Sb., včetně možných trestněprávních důsledků vyplývajících z ustanovení § 152 trestního zákona č.
    [Show full text]
  • SISTEM MULTIMEDIA [email protected] MATERI PERKULIAHAN
    Mahardeka Tri A. SISTEM MULTIMEDIA [email protected] MATERI PERKULIAHAN 1.Perkenalan & Jenis Representasi Media 1.Audio Coding (MP3) #1 2.Video Coding (MP4) 2.Jenis Representasi Media #2 3.Quiz 2 (Materi 9-10) 3.Pemrosesan Media berupa Image 4.Manipulasi Media 4.Pemrosesan Media berupa Audio 5.Keamanan Media 5.Pemrosesan Media berupa Video 6.Visualisasi Media 6.Quiz 1 (Materi 1-5) 7.Aplikasi Multimedia 7.Image Coding (JPEG & GIF) 8.UAS 8.UTS PERATURAN & TATA TERTIB 1.Menjaga ETIKA kemanusiaan baik di dalam kelas maupun di luar kelas 2.Plagiasi tugas berakibat Nilai 0 3.Kehadiran < 80% NILAI AKHIR 0 (buku pedoman akademik UB hal. 83) 4.Diperbolehkan membawa makanan & minuman di dalam kelas (S&KB). 5.Tugas harus dikumpulkan secara kolektif di koordinator kelas tepat waktu (sesuai deadline), bukan melalui email. 6.Keterlambatan tugas berdampak pada pengurangan nilai (per hari - 5) 7.Tidak ada kuis susulan kecuali sakit dengan dilengkapi surat dokter & kegiatan yang membawa nama kampus atau daerah dilampiri surat dispensasi resmi, berlaku ≤ 2 minggu setelah kuis dilaksanakan. 8.UTS & UAS susulan dilakukan mengikuti aturan yang berlaku di FILKOM 9.TIDAK ADA NEGOSIASI NILAI, TUGAS TAMBAHAN, MARKUP NILAI, dkk. Jika terjadi nilai akhir MK - 10 PENILAIAN Tugas : 15% Sikap + keaktifan : 10% Quiz : 15% Ujian Tengah Semester : 25% UAS: 35% • MULTIMEDIA berasal dari dua kata MULTI dan MEDIA. MULTI dalam bahasa latin berarti banyak atau bermacam-macam, sedangkan MEDIUM berarti sesuatu yang dipakai untuk menyampaikan atau membawa sesuatu. • Kamus American Heritage Electronic Dictionary: MEDIUM : alat untuk mendistribusikan dan mempresentasikan informasi. • Kombinasi informasi text, graphics,audio, video yang saling terhubung.
    [Show full text]
  • Multimedia System
    Addis Ababa University College of Natural and Computational Sciences Department of Computer Science MULTIMEDIA SYSTEM (Module Code: CoSc-M4152 & Course Code: CoSc4152) Prepared By: Samuel Getachew 2019/20AY Table of Contents Chapter One .................................................................................................................................. 5 Introduction to Multimedia Systems ........................................................................................ 5 1.1 Introduction ................................................................................................................... 5 1.2 Meaning of Multimedia ................................................................................................ 5 1.3 Categories of Multimedia ............................................................................................. 7 1.4 Feature of Multimedia .................................................................................................. 7 1.5 Applications of Multimedia ......................................................................................... 9 1.6 Stages of Multimedia Project ..................................................................................... 11 1.6.1 Pre-Production ..................................................................................................... 11 1.6.2 Production ............................................................................................................. 13 1.6.3 Post-Production ...................................................................................................
    [Show full text]
  • Brook for Free Pascal
    Brook for Free Pascal Silvio Clecio, Luciano Souza January 24, 2019 Contents 1 Unit BrookAction 4 1.1 Description . 4 1.2 Uses . 4 1.3 Overview . 4 1.4 Classes, Interfaces, Objects and Records . 5 1.5 Types . 15 2 Unit BrookApplication 16 2.1 Description . 16 2.2 Uses . 16 2.3 Overview . 16 2.4 Classes, Interfaces, Objects and Records . 17 2.5 Functions and Procedures . 18 3 Unit BrookClasses 19 3.1 Description . 19 3.2 Uses . 19 3.3 Overview . 19 3.4 Classes, Interfaces, Objects and Records . 19 3.5 Types . 21 4 Unit BrookConfigurator 22 4.1 Description . 22 4.2 Uses . 22 4.3 Overview . 22 4.4 Classes, Interfaces, Objects and Records . 22 4.5 Types . 24 5 Unit BrookConstraints 25 5.1 Description . 25 5.2 Uses . 25 5.3 Overview . 25 5.4 Classes, Interfaces, Objects and Records . 26 5.5 Types . 29 1 6 Unit BrookConsts 31 6.1 Description . 31 6.2 Constants . 31 6.3 Variables . 51 7 Unit BrookException 52 7.1 Description . 52 7.2 Uses . 52 7.3 Overview . 52 7.4 Classes, Interfaces, Objects and Records . 52 7.5 Types . 54 8 Unit BrookHttpClient 55 8.1 Description . 55 8.2 Uses . 55 8.3 Overview . 55 8.4 Classes, Interfaces, Objects and Records . 56 8.5 Types . 63 9 Unit BrookHttpConsts 65 9.1 Description . 65 9.2 Uses . 65 9.3 Constants . 65 9.4 Variables . 81 10 Unit BrookHttpDefs 82 10.1 Description . 82 10.2 Uses . 82 10.3 Types .
    [Show full text]
  • Audio Formats Reference
    Audio Formats Reference Brian Langenberger April 19, 2010 Contents 1 Introduction 7 2 the Basics 9 2.1 Hexadecimal . 9 2.2 Signed integers . 10 2.3 Endianness . 11 2.4 Character Encodings . 11 2.5 PCM . 12 3 Waveform Audio File Format 13 3.1 the RIFF WAVE Stream . 13 3.2 the Classic `fmt' Chunk . 13 3.3 the WAVEFORMATEXTENSIBLE `fmt' Chunk . 14 3.4 the `data' Chunk . 14 3.5 Channel assignment . 15 4 Audio Interchange File Format 17 4.1 the AIFF file stream . 17 4.2 the COMM chunk . 17 4.3 the SSND chunk . 18 5 Sun AU 19 5.1 the Sun AU file stream . 19 6 Free Lossless Audio Codec 21 6.1 the FLAC file Stream . 21 6.2 FLAC Metadata Blocks . 22 6.2.1 STREAMINFO . 22 6.2.2 PADDING . 22 6.2.3 APPLICATION . 22 6.2.4 SEEKTABLE . 22 6.2.5 VORBIS COMMENT . 23 6.2.6 CUESHEET . 24 6.2.7 PICTURE . 24 6.3 FLAC Decoding . 25 3 Contents 6.3.1 CONSTANT subframe . 26 6.3.2 VERBATIM subframe . 26 6.3.3 FIXED subframe . 26 6.3.4 LPC Subframe . 27 6.3.5 the Residual . 28 6.3.6 Channels . 30 6.3.7 Wasted Bits per Sample . 30 6.4 FLAC Encoding . 31 6.4.1 the STREAMINFO metadata block . 31 6.4.2 Frame header . 32 6.4.3 Channel assignment . 32 6.4.4 Subframe header . 32 6.4.5 the CONSTANT subframe . 33 6.4.6 the VERBATIM subframe .
    [Show full text]
  • Teacher Manual in PDF Format
    Technology Institute for Music Educators Digital Media (Teacher Manual) by Lynn Purse and Floyd Richmond Edited by Floyd Richmond Copyright © 1999 Technology Institute for Music Educators http://www.ti-me.org These materials were made possible by a grant from NAMM (National Association of Music Merchants) Digital Media - TI:ME 2B - Teacher Manual Page 1 Table of Contents Digital Media . .3 Description . .3 Course Organization . .3 Additional Information . 3 Hardware Requirements . 4 Software Requirements . .4 Introduction . 5 Prerequisites . .5 Objectives . 5 Declarative Knowledge . 5 Procedural Knowledge . 5 Assessment . 5 Course Topics . .6 Topic #1 - Overview of Multimedia . Topic #2 - Multimedia - Text 1 . Topic #3 - Multimedia - Text 2 . Topic #4 - Multimedia - Graphics . Topic #5 - Multimedia - Graphics - Using Drawing and Painting Software . Topic #6 - Graphics - Scanning a Picture . Topic #7 - Graphics - Using a Digital Camera . Topic #8 - Graphics - Simple Animation . Topic #9 - Digital Audio . Topic #10 - MIDI . Topic #11 - Digital Video . Topic #12 - Copyright Issues . Topic #13 - Curriculum Integration . Topic #14 - Individual Project . Teacher Worksheets . 11-28 Appendices . .30 Appendix 1 - Multimedia Creation Programs . .30 Appendix 2 - Multimedia Basics: Understanding Text . .31 Appendix 3 - Multimedia Basics: Understanding Sound . .34 Digital Audio Sampling Rates and Resolutions . .37 MIDI and QuickTime . .38 Appendix 4 - Multimedia Basics: Understanding Still Images . .42 Appendix 5 - Multimedia Basics: Understanding Moving Images . .47 Digital Media - TI:ME 2B - Teacher Manual Page 2 Digital Media (TI:ME 2B) Lynn Purse and Floyd Richmond, authors Floyd Richmond, editor last modified September 10, 1999 Copyright © 1999 by the Technology Institute for Music Educators • Text • Graphics • Sound • Video Description Digital Media (TI:ME 2B) covers the creation of multimedia files which may be integrated into internet and multimedia projects, computer programs, or which may stand alone as educational products (videos, CDs, audio tapes, etc.).
    [Show full text]
  • Au File Format - Wikipedia Page 1 of 2
    Au file format - Wikipedia Page 1 of 2 Au file format The Au file format is a simple audio file format introduced by Sun Microsystems. The format was Au common on NeXT systems and on early Web pages. Originally it was headerless, being simply 8-bit µ-law-encoded data at an 8000 Hz sample rate. Hardware from other vendors often used sample rates Filename .au extension as high as 8192 Hz, often integer factors of video clock signals. Newer files have a header that consists .snd of six unsigned 32-bit words, an optional information chunk and then the data (in big endian format). Internet audio/basic media type Although the format now supports many audio encoding formats, it remains associated with the µ-law Magic number .snd logarithmic encoding. This encoding was native to the SPARCstation 1 hardware, where SunOS Developed by Sun Microsystems exposed the encoding to application programs through the /dev/audio interface. This encoding and Type of format audio file format, interface became a de facto standard for Unix sound. container format Container for Audio, most often New format µ-law All fields are stored in big-endian format, including the sample data. 32 bit word field Description/Content Hexadecimal numbers in C notation (unsigned) 0 magic the value 0x2e736e64 (four ASCII characters ".snd") number 1 data offset the offset to the data in bytes, must be divisible by 8. The minimum valid number is 24 (decimal), since this is the header length (six 32-bit words) with no space reserved for extra information (the annotation field).
    [Show full text]
  • AVS Media Player
    AVS4YOU Programs Help - AVS Media Player AVS4YOU Programs Help AVS Media Player www.avs4you.com © Online Media Technologies, Ltd., UK. 2004 - 2010. All rights reserved Page 2 of 25 Contact Us If you have any comments, suggestions or questions regarding AVS4YOU programs or if you have a new feature that you feel can be added to improve our product, please feel free to contact us. When you register your product, you may be entitled to technical support. General information: [email protected] Technical support: [email protected] Sales: [email protected] Help and other documentation: [email protected] Technical Support AVS4YOU programs do not require any professional knowledge. If you experience any problem or have a question, please refer to the AVS4YOU Programs Help. If you cannot find the solution, please contact our support staff. Note: only registered users receive technical support. AVS4YOU staff provides several forms of automated customer support: AVS4YOU Support System You can use the Support Form on our site to ask your questions. E-mail Support You can also submit your technical questions and problems via e-mail to [email protected]. Note: for more effective and quick resolving of the difficulties we will need the following information: Name and e-mail address used for registration System parameters (CPU, hard drive space available, etc.) Operating System The information about the capture, video or audio devices, disc drives connected to your computer (manufacturer and model) Detailed step by step describing of your action Please do NOT attach any other files to your e-mail message unless specifically requested by AVS4YOU.com support staff.
    [Show full text]
  • Audio in Embedded Linux Systems
    Audio in embedded Linux systems Audio in embedded Linux systems Free Electrons 1 Free Electrons. Kernel, drivers and embedded Linux development, consulting, training and support. http//free-electrons.com Rights to copy © Copyright 2004-2009, Free Electrons [email protected] Document sources, updates and translations: http://free-electrons.com/docs/audio Corrections, suggestions, contributions and translations are welcome! Attribution ± ShareAlike 3.0 Latest update: Sep 15, 2009 You are free to copy, distribute, display, and perform the work to make derivative works to make commercial use of the work Under the following conditions Attribution. You must give the original author credit. Share Alike. If you alter, transform, or build upon this work, you may distribute the resulting work only under a license identical to this one. For any reuse or distribution, you must make clear to others the license terms of this work. Any of these conditions can be waived if you get permission from the copyright holder. Your fair use and other rights are in no way affected by the above. License text: http://creativecommons.org/licenses/by-sa/3.0/legalcode 2 Free Electrons. Kernel, drivers and embedded Linux development, consulting, training and support. http//free-electrons.com Scope of this training Audio in embedded Linux systems This training targets the development of audio-capable embedded Linux systems. Though it can be useful to playing or creating sound on GNU/Linux desktops, it is not meant to cover everything about audio on GNU/Linux. Linux 2.6 This training only targets new systems based on the Linux 2.6 kernel.
    [Show full text]
  • Soft4boost Amplayer
    AMPlayer Soft4Boost Help AMPlayer www.sorentioapps.com © Sorentio Systems, Ltd. All rights reserved Contact Us If you have any comments, suggestions or questions regarding AMPlayer or if you have a new feature that you feel can be added to improve our product, please feel free to contact us. When you register your product, you may be entitled to technical support. General information: [email protected] Technical support: [email protected] Sales: [email protected] Technical Support AMPlayer does not require any professional knowledge. If you experience any problem or have a question, please refer to the AMPlayer Help. If you cannot find the solution, please contact our support staff. Note: only registered users receive technical support AMPlayer provides several forms of automated customer support Soft4Boost Support System You can use the Support Form on our site to ask your questions. E-mail Support You can also submit your technical questions and problems via e-mail to [email protected] Note: for more effective and quick resolving of the difficulties we will need the following information: Name and e-mail address used for registration System parameters (CPU, hard drive space available, etc.) Operating System Detailed step by step describing of your action Resources Documentation for AMPlayer is available in a variety of formats: In-product (.chm-file) and Online Help: You will be able to use help file (.chm) through the Help menu of the installed AMPlayer. Online Help include all the content from the In-product help file and updates and links to additional instructional content available on the web.
    [Show full text]
  • Digital Audio in the Library
    University of Pennsylvania ScholarlyCommons Scholarship at Penn Libraries Penn Libraries 6-1-2006 Digital Audio in the Library Richard Griscom University of Pennsylvania, [email protected] Follow this and additional works at: https://repository.upenn.edu/library_papers Part of the Library and Information Science Commons Recommended Citation Griscom, R. (2006). Digital Audio in the Library. Retrieved from https://repository.upenn.edu/ library_papers/5 Unpublished, incomplete book manuscript. Version 1.11 (19 July 2006) HTML version is also available. This work is licensed under the Creative Commons Attribution-NonCommercial-ShareAlike 3.0 License. To view a copy of this license, visit http://creativecommons.org/licenses/by-nc-sa/3.0/ or send a letter to Creative Commons, 543 Howard Street, 5th Floor, San Francisco, California, 94105, USA. This paper is posted at ScholarlyCommons. https://repository.upenn.edu/library_papers/5 For more information, please contact [email protected]. Digital Audio in the Library Abstract An incomplete draft of a book intended to serve as a guide and reference for librarians who are responsible for implementing digital audio services in their libraries. The book is divided into two parts. Part 1, "Digital Audio Technology," covers the fundamentals of recorded sound and digital audio, including a description of digital audio formats, how digital audio is delivered to the listener, and how digital audio is created. Part 2, "Digital Audio in the Library," covers digitizing local collections, providing streaming audio reserves, and using digital audio to preserve analog recordings. Keywords digital, audio, digital audio, libraries, library Disciplines Library and Information Science Comments Unpublished, incomplete book manuscript.
    [Show full text]